DocumentCode :
2905866
Title :
Fractal scanning for image compression
Author :
Thyagarajan, K.S. ; Chatterjee, Shankar
Author_Institution :
Dept. of Electr. & Comput. Eng., San Diego State Univ., CA, USA
fYear :
1991
fDate :
4-6 Nov 1991
Firstpage :
467
Abstract :
The authors describe an alternative scanning technique called fractal scanning for images different from the usual raster scan which increases the image correlation. The increased correlation can be better exploited to achieve higher image compression. The scanning procedure uses a basic 4×4 pattern recursively to scan an image. Various possible quantization procedures are outlined, with an emphasis on the design of vector quantizers for the rescanned images. The scanned image is vector-quantized to achieve image compression. Experimental results are given
Keywords :
bandwidth compression; fractals; picture processing; video signals; design; fractal scanning; image compression; quantization procedures; rescanned images; vector quantizers; video bandwidth compression; Bandwidth; Buffer storage; Data communication; Data compression; Digital images; Fractals; Image coding; Pixel; Source coding; Video compression;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signals, Systems and Computers, 1991. 1991 Conference Record of the Twenty-Fifth Asilomar Conference on
Conference_Location :
Pacific Grove, CA
ISSN :
1058-6393
Print_ISBN :
0-8186-2470-1
Type :
conf
DOI :
10.1109/ACSSC.1991.186493
Filename :
186493
Link To Document :
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